Bai, Z.; Ji, L.; Tang, H.; Qiu, J.; Kang, S.; Liu, C.; Bian, Z.
Rapid Detection and Segmentation of Landslide Hazards in Loess Tableland Areas Using Deep Learning: A Case Study of the 2023 Jishishan Ms 6.2 Earthquake in Gansu, China. Remote Sens. 2025, 17, 2667.
https://doi.org/10.3390/rs17152667
AMA Style
Bai Z, Ji L, Tang H, Qiu J, Kang S, Liu C, Bian Z.
Rapid Detection and Segmentation of Landslide Hazards in Loess Tableland Areas Using Deep Learning: A Case Study of the 2023 Jishishan Ms 6.2 Earthquake in Gansu, China. Remote Sensing. 2025; 17(15):2667.
https://doi.org/10.3390/rs17152667
Chicago/Turabian Style
Bai, Zhuoli, Lingyun Ji, Hongtao Tang, Jiangtao Qiu, Shuai Kang, Chuanjin Liu, and Zongpan Bian.
2025. "Rapid Detection and Segmentation of Landslide Hazards in Loess Tableland Areas Using Deep Learning: A Case Study of the 2023 Jishishan Ms 6.2 Earthquake in Gansu, China" Remote Sensing 17, no. 15: 2667.
https://doi.org/10.3390/rs17152667
APA Style
Bai, Z., Ji, L., Tang, H., Qiu, J., Kang, S., Liu, C., & Bian, Z.
(2025). Rapid Detection and Segmentation of Landslide Hazards in Loess Tableland Areas Using Deep Learning: A Case Study of the 2023 Jishishan Ms 6.2 Earthquake in Gansu, China. Remote Sensing, 17(15), 2667.
https://doi.org/10.3390/rs17152667